An interesting study looking at using AI-ECG to predict mortality in repaired tetralogy of Fallot patients as there is a growing adult repaired toF population.

A convolutional neural network was trained on electrocardiograms (ECGs) obtained at Boston Children’s Hospital and tested on Boston (internal testing) and Toronto (external validation) INDICATOR (International Multicenter TOF Registry) cohorts to predict 5-year mortality. AI-ECG performed similarly to the biventricular global function index (an imaging biomarker) and outperformed QRS duration. AI-ECG 5-year mortality prediction, but not QRS duration, was a significant independent predictor when added into a Cox regression model with biventricular global function index to predict shorter time-to-death on internal and external cohorts.

https://www.jacc.org/doi/10.1016/j.jacep.2024.07.015